Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

H West, N Quinn, M Horswell - Remote Sensing of Environment, 2019 - Elsevier
Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …

A review of remote sensing applications for water security: Quantity, quality, and extremes

I Chawla, L Karthikeyan, AK Mishra - Journal of Hydrology, 2020 - Elsevier
Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …

[HTML][HTML] The global water resources and use model WaterGAP v2. 2d: Model description and evaluation

H Müller Schmied, D Cáceres, S Eisner… - Geoscientific Model …, 2021 - gmd.copernicus.org
WaterGAP is a global hydrological model that quantifies human use of groundwater and
surface water as well as water flows and water storage and thus water resources on all land …

Groundwater system and climate change: Present status and future considerations

AC Amanambu, OA Obarein, J Mossa, L Li, SS Ayeni… - Journal of …, 2020 - Elsevier
Climate change will impact every aspect of biophysical systems and society. However,
unlike other components of the climate system, the impact of climate change on the …

Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections

E Forootan, M Khaki, M Schumacher… - Science of the Total …, 2019 - Elsevier
Droughts often evolve gradually and cover large areas, and therefore, affect many people
and activities. This motivates develo** techniques to integrate different satellite …

Downscaling GRACE total water storage change using partial least squares regression

BD Vishwakarma, J Zhang, N Sneeuw - Scientific data, 2021 - nature.com
Abstract The Gravity Recovery And Climate Experiment (GRACE) satellite mission recorded
temporal variations in the Earth's gravity field, which are then converted to Total Water …

Evaluation and machine learning improvement of global hydrological model-based flood simulations

T Yang, F Sun, P Gentine, W Liu, H Wang… - Environmental …, 2019 - iopscience.iop.org
A warmer climate is expected to accelerate global hydrological cycle, causing more intense
precipitation and floods. Despite recent progress in global flood risk assessment, the …

Machine learning based downscaling of GRACE-estimated groundwater in Central Valley, California

V Agarwal, O Akyilmaz, CK Shum, W Feng… - Science of the Total …, 2023 - Elsevier
Abstract California's Central Valley, one of the most agriculturally productive regions, is also
one of the most stressed aquifers in the world due to anthropogenic groundwater over …

Influences of climatic variability and human activities on terrestrial water storage variations across the Yellow River basin in the recent decade

J **e, YP Xu, Y Wang, H Gu, F Wang, S Pan - Journal of Hydrology, 2019 - Elsevier
Terrestrial water storage (TWS) variations can be influenced by both climatic variability and
human activities. In this study, we made an integrated use of GRACE data and …

[HTML][HTML] The role of satellite-based remote sensing in improving simulated streamflow: A review

D Jiang, K Wang - Water, 2019 - mdpi.com
A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …